DOIONLINE 
DOIONLINE Publish In |
International Journal of Management and Applied Science (IJMAS)-IJMAS |
 Journal Home Volume Issue |
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Issue |
Volume-9,Issue-7 ( Jul, 2023 ) | |||||||||
Paper Title |
India’s GDP Story: Past, Present, and Future with Machine Learning Models | |||||||||
Author Name |
Ankit Singh, Sourav Muzumdar, Arman Gupta, Dinesh Rathod, Jayant Kalani | |||||||||
Affilition |
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Pages |
69-74 | |||||||||
Abstract |
This report explores the path towards India's aspiration of becoming a 5 trillion dollar economy. Through data analysis, modeling techniques, and causal relationship assessments, key insights are derived to aid policymakers in formulating effective strategies. The report focuses on identifying prominent sectors, quantifying their contributions to GDP growth, and assessing the interplay between sectors. Additionally, it provides policy suggestions based on the findings, enabling proactive measures to impact sectoral growth and optimize resource allocation. The report highlights the significance of data-driven decision-making and emphasizes the importance of monitoring trends, estimating time lags, and quantifying confidence levels in policy implementation. Keywords - India, GDP Growth, Data Analytics, Modeling, Causal Relationship, Sectors, Policy Suggestions, Resource Allocation, Time Lags, Confidence Levels | |||||||||
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